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Victor Fung

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#artificial intelligence Preprint Sep 2026

The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry

As AI-driven reasoning, autonomous agentic frameworks, self-driving laboratories, and fault-tolerant quantum processors mature simultaneously, this Comment is offered as a reference at what it is believed is a tipping point of transformative advances and productive disruption in the chemical sciences.

E. Huerta, Xiao-Yu Wang, Geetika Gupta et al. · 0 citations
Preprint Jul 2026

Symbolic Predicate-Guided Language Agents for Inverse Design of Perovskite Oxides

This work introduces a domain specific language (DSL)-guided strategy to improve the reasoning and design capability of LLM agents by translating natural language design rules into symbolic predicates encoded in a predefined chemistry DSL, and developed a multi-agent materials design framework.

Dong Hyeon Mok, Seoin Back, Victor Fung et al. · 0 citations

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